Qwen3 235B A22B Thinking 2507
Qwen · → text
算能提供
Input$0.28 /M
Output$2.8 /M
← ModelsQwen3 235B A22B Thinking 2507
GLM 5.2
Qwen3 235B A22B Thinking 2507 vs GLM 5.2
Compare Qwen3 235B A22B Thinking 2507 from Qwen and GLM 5.2 from Z.AI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Qwen3 235B A22B Thinking 2507GLM 5.2+ Add model · 2/4
GLM 5.2
Z.AI · text → text
GLM-5.2 is Z.ai’s flagship model for the era of long-horizon tasks. With a truly usable 1M-token context window, it can handle project-level engineering context, execute long-running tasks more reliably, follow engineering standards more consistently, and complete the full development workflow from requirements to multi-platform deployment in a single task.
Input$1.1268 /M
Output$3.9438 /M
Cache read$0.2817 /M
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Qwen3 235B A22B Thinking 2507
GLM 5.2
Input /M
$0.28
$1.1268
Output /M
$2.8
$3.9438
Cache read /M
-
$0.2817
Context length
0
1,000,000
Max output
0
131,072
Time to First Token
0.3 s
0.7 s
Throughput
87.4 tok/s
37.0 tok/s
Modalities
text
Supported Parameters
thinkingtoolsfunction callingstructured outputs
API Formats
chat_completions · claude_api
Released
July 25, 2025
June 16, 2026
Promotional prices show the discounted rate; see each model page for promotion windows.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Qwen3-235B-A22B-Thinking-2507glm-5.2
Tokens / day
-
Requests / day
-
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Qwen3-235B-A22B-Thinking-2507glm-5.2
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Text
Qwen3-235B-A22B-Thinking-2507glm-5.2
1340140014601520
Overall
13991472
Coding
14421509
Math
13981476
Hard prompts
14181492
Instruction following
13861465
Multi-turn
13941469
Creative writing
13741451
Longer query
14011482
Chinese
14481517
English
14051480
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Cost calculator
Estimate your monthly bill for the same workload on each model.
Qwen3 235B A22B Thinking 2507
$58.80 /mo
GLM 5.2
$127 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Qwen3 235B A22B Thinking 2507, GLM 5.2?
Qwen3 235B A22B Thinking 2507: $2.8/M output tokens; GLM 5.2: $3.9438/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
GLM 5.2: 1509; Qwen3 235B A22B Thinking 2507: 1442 (LMArena coding leaderboard).
Which responds faster?
Qwen3 235B A22B Thinking 2507: 0.3s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Which one generates tokens faster?
Qwen3 235B A22B Thinking 2507 at 87.4 tok/s and GLM 5.2 at 37.0 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Can I call Qwen3 235B A22B Thinking 2507 and GLM 5.2 with the same API key?
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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